RedSuite

Inspiration

AI security systems are everywhere (fraud detection, content moderation, facial recognition), but few test if they actually work under attack. We built RedSuite to democratize adversarial ML testing—making enterprise-grade security research accessible to anyone.

What it does

RedSuite is a penetration testing platform for AI models. Upload an image, select an attack method, and watch how easily the AI gets fooled. A cat photo becomes a dog with 94% confidence—same image, invisible changes.

How we built it

Frontend: Replit.com AI Integration/Logic: DigitalOcean Gradient AI Platform

Challenges we ran into

Connecting API/endpoints from Gradient to Replit Connecting our original custom built backend to Gradient (so we scrapped it)

Accomplishments that we're proud of

✅ Built working adversarial attack, since this morning ✅ Integrated DigitalOcean Gradient AI for security assessment & reporting ✅ Figuring out API/endpoint connection issues for fully functional demo

What we learned

Even state-of-the-art models (95%+ accuracy) are shockingly vulnerable to basic attacks Tiny perturbations can flip model predictions completely Visual proof (side-by-side comparison) communicates vulnerability better than technical explanations Making security research tools accessible requires ruthless simplification—"penetration testing for AI" resonates; "gradient-based optimization" doesn't

What's next for RedSuite

Immediate Product Expansion:

Targeted attacks and batch testing for power users Multi-modal support: text (NLP models), audio (speech recognition), malware (EDR evasion) Defense validation toolkit (test adversarial training effectiveness)

Go-to-Market Strategy:

Freemium Model → Pro → Enterprise Distribution Channels: Product Hunt launch, ML/security communities (Reddit r/MachineLearning, Discord servers), GitHub open-source core Customer Segments: Solo developers building AI apps → Startups validating models → SMBs requiring compliance → Enterprise security teams

Market Expansion:

Horizontal: Educational partnerships (university AI courses using RedSuite for labs) Vertical: Industry-specific testing suites (healthcare HIPAA, finance fraud models, content moderation for social platforms) Enterprise Bridge: API for CI/CD integration, compliance reporting (NIST AI RMF, ISO 42001), white-label licensing Open-source core + premium cloud features Community-driven attack library and model benchmarks

Built With

• gradient
• replit.com